Evidence map›Paper›PMID 36473994›Full record

ArticleCommunications medicine2022

Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology.

Lorna Ewart, Athanasia Apostolou, Skyler A Briggs, Christopher V Carman, Jake T Chaff, Anthony R Heng, Sushma Jadalannagari, Jeshina Janardhanan, Kyung-Jin Jang, Sannidhi R Joshipura and 22 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 168 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
168citing papers in PubMed, 1 pooled it
17.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

168 citing papers in PubMed, 1 synthesis or guideline pooled it, 247 citations in OpenAlex.

  1. Integration of microphysiological systems with computational and digital twin modeling for pharmaceutical development: a systematic review.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
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  7. Detecting drug-induced nephrotoxicity using simultaneous label-free autofluorescence multiharmonic microscopy.Toxicological sciences : an official journal of the Society of Toxicology · 2026
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  20. Deep Learning-Powered Scalable Cancer Organ Chip for Cancer Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article

108 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors at 4 institutions in 1 country.

Lorna EwartEmulate Inc., 27 Drydock Avenue, Boston, MA, USA. lorna.ewart@emulatebio.com.ORCID http://orcid.org/0000-0002-8258-7460
Athanasia ApostolouEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Skyler A BriggsEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Christopher V CarmanEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Jake T ChaffEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0953-4012
Anthony R HengEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9166-6518
Sushma JadalannagariEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Jeshina JanardhananEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Kyung-Jin JangEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Sannidhi R JoshipuraEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Mahika M KadamEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Marianne KanelliasEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6467-1319
Ville J KujalaEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Gauri KulkarniEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Christopher Y LeEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Carolina LucchesiEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Dimitris V ManatakisEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9196-198X
Kairav K ManiarEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6566-5017
Meaghan E QuinnEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Joseph S RavanEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Ann Catherine RizosEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
John F K SauldEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Josiah D SlizEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
William Tien-StreetEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Dennis Ramos TrinidadEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
James VelezEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Max WendellEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9481-8118
Onyi IrrechukwuJanssen Pharmaceuticals, Spring House, Philadelphia, PA, USA.
Prathap Kumar MahalingaiahInvestigative Toxicology and Pathology, Abbvie, North Chicago, IL, USA.
Donald E IngberWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4319-6520
Jack W ScannellJW Scannell Analytics LTD, 32 Queens Crescent, Edinburgh, EH9 2BA, UK.
Daniel LevnerEmulate Inc., 27 Drydock Avenue, Boston, MA, USA.
Emulate (United States) · USAbbVie (United States) · USBoston Children's Hospital · USJanssen (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional preclinical models often miss drug toxicities, meaning the harm these drugs pose to humans is only realized in clinical trials or when they make it to market. This has caused the pharmaceutical industry to waste considerable time and resources developing drugs destined to fail. Organ-on-a-Chip technology has the potential improve success in drug development pipelines, as it can recapitulate organ-level pathophysiology and clinical responses; however, systematic and quantitative evaluations of Organ-Chips' predictive value have not yet been reported.

methods870 Liver-Chips were analyzed to determine their ability to predict drug-induced liver injury caused by small molecules identified as benchmarks by the Innovation and Quality consortium, who has published guidelines defining criteria for qualifying preclinical models. An economic analysis was also performed to measure the value Liver-Chips could offer if they were broadly adopted in supporting toxicity-related decisions as part of preclinical development workflows.

resultsHere, we show that the Liver-Chip met the qualification guidelines across a blinded set of 27 known hepatotoxic and non-toxic drugs with a sensitivity of 87% and a specificity of 100%. We also show that this level of performance could generate over $3 billion annually for the pharmaceutical industry through increased small-molecule R&D productivity.

conclusionsThe results of this study show how incorporating predictive Organ-Chips into drug development workflows could substantially improve drug discovery and development, allowing manufacturers to bring safer, more effective medicines to market in less time and at lower costs.

Identifiers

PMID36473994
PMCPMC9727064
OpenAlexW4310952187

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.